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, co-expression analysis, de-novo assembly, read alignments, whole genome polymorphism calling, and population genomics. Must be proficient in R, BASH, Python, Java, and/or Perl programming languages
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with design of experiments and statistical or multivariate analysis using tools such as R, Python, Statistical Analysis System (SAS), or JMP. Experience contributing to grant proposals and project
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, computational modeling, and data analytics. Experience leading full-scale structural testing. Proficiency in Python or equivalent programming language. Experience with high-performance and high-throughput
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computing (Linux) environments, including shell scripting. Strong programming and data analysis skills (e.g., Python, Fortran, R). Demonstrated ability of scholarly output (peer-reviewed publications and
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across a variety of stakeholder groups. Preferred Qualifications: Experience with user research. Experience with Python, R, or other analytical tools. Experience evaluating the impact of AI-powered search